2007
DOI: 10.1007/s00268-007-9329-3
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Patient‐specific Surgical Simulation

Abstract: Technological innovations of the twentieth century have provided medicine and surgery with new tools for education and therapy definition. Thus, by combining Medical Imaging and Virtual Reality, patient-specific applications providing preoperative surgical simulation have become possible.

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Cited by 54 publications
(33 citation statements)
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“…Other simulation systems have been recently described. The IRCAD software establishes a 3D virtual surgical planning system, and has been reported regarding the utility of patient-specific surgical simulation for laparoscopic liver surgery [10][11][12]. MeVis also supports planning a hepatectomy using patient specific data.…”
Section: Discussionmentioning
confidence: 99%
“…Other simulation systems have been recently described. The IRCAD software establishes a 3D virtual surgical planning system, and has been reported regarding the utility of patient-specific surgical simulation for laparoscopic liver surgery [10][11][12]. MeVis also supports planning a hepatectomy using patient specific data.…”
Section: Discussionmentioning
confidence: 99%
“…Soler et al [11] have presented a patient-specific simulator for laparoscopic surgery. However in this paper, skin and viscera motions due to gas injection are also not taken into account.…”
Section: Previous Workmentioning
confidence: 99%
“…To be sure, the major bottleneck is segmentation (currently is subject to extensive research), which automation is still considered as a challenging task [51], thus requiring some degree of human interaction. While segmentation falls out of the scope of this work, the integration ability of PSR and how this can increase the adoption of 3D patient-speci c models with the help of state-of-the-art tools, like MeVis Distant Services [51,52,53] or Fuji lm Synapse VINCENT [54], is a relevant question. PSR can be seamlessly integrated in any medical platform, provided that the platform is able to obtain segmented images (Figure 6.1).…”
Section: Integration Of Psr In Clinical Workflowsmentioning
confidence: 99%
“…The process of transferring data from the CPU memory space to the GPU memory space was considered a bottleneck, particularly for high-resolution surfaces. In order to address this issue, Espino et al [52] proposed an algorithm in combination with a speci c hardware architecture for a full integration in GPU.…”
Section: High-performance Computing Of Bézier Surfacesmentioning
confidence: 99%